Which option correctly describes how filtering works in Aggregates?

The correct choice accurately describes how filtering works in Aggregates by highlighting that filters can use logical operators to combine multiple conditions. This is essential because it enables developers to create more complex queries by connecting various criteria with operators such as AND, OR, and NOT. This functionality allows for greater flexibility and precision in retrieving data, as multiple conditions can be evaluated simultaneously, resulting in a tailored dataset that meets specific requirements.

Using logical operators means that when you apply multiple filters, you can refine the results based on various attributes or relationships within the data. This enhances the capability of the aggregate to return exactly the data desired by the application, as opposed to being restricted to evaluating one condition at a time, or producing a static number of records based solely on the conditions set.

In contrast, other choices suggest limitations or misunderstandings about the filtering process. For instance, the notion of filters allowing only one condition constrains the potential of the queries significantly. Similarly, the idea of filters always returning a consistent count based on the number of conditions overlooks the dynamic nature of data retrieval in aggregates. Lastly, stating that each filter is processed independently discounts the logical connections that can be integrated through the use of operators, which fundamentally changes how results are aggregated and filtered.